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---
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base_model: facebook/llm-compiler-13b-ftd
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\ * [https://huggingface.co/facebook/llm-compiler-13b](https://huggingface.co/facebook/llm-compiler-13b)\
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inference: false
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+
library_name: gguf
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license: other
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pipeline_tag: text-generation
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quantized_by: legraphista
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tags:
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- quantized
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- GGUF
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- quantization
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- imat
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- imatrix
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- static
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- 16bit
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- 8bit
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- 6bit
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- 5bit
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- 4bit
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- 3bit
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- 2bit
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- 1bit
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---
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# llm-compiler-13b-ftd-IMat-GGUF
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_Llama.cpp imatrix quantization of facebook/llm-compiler-13b-ftd_
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Original Model: [facebook/llm-compiler-13b-ftd](https://huggingface.co/facebook/llm-compiler-13b-ftd)
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Original dtype: `BF16` (`bfloat16`)
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Quantized by: llama.cpp [b3256](https://github.com/ggerganov/llama.cpp/releases/tag/b3256)
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IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)
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+
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- [Files](#files)
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- [IMatrix](#imatrix)
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- [Common Quants](#common-quants)
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- [All Quants](#all-quants)
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- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
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- [Inference](#inference)
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- [Llama.cpp](#llama-cpp)
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- [FAQ](#faq)
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- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
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- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
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+
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---
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## Files
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### IMatrix
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Status: ⏳ Processing
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Link: [here](https://huggingface.co/legraphista/llm-compiler-13b-ftd-IMat-GGUF/blob/main/imatrix.dat)
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+
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### Common Quants
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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+
| -------- | ---------- | --------- | ------ | ------------ | -------- |
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+
| llm-compiler-13b-ftd.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
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| llm-compiler-13b-ftd.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
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| llm-compiler-13b-ftd.Q4_K | Q4_K | - | ⏳ Processing | 🟢 IMatrix | -
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| llm-compiler-13b-ftd.Q3_K | Q3_K | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.Q2_K | Q2_K | - | ⏳ Processing | 🟢 IMatrix | -
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+
|
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+
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### All Quants
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+
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|
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+
| -------- | ---------- | --------- | ------ | ------------ | -------- |
|
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+
| llm-compiler-13b-ftd.BF16 | BF16 | - | ⏳ Processing | ⚪ Static | -
|
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+
| llm-compiler-13b-ftd.FP16 | F16 | - | ⏳ Processing | ⚪ Static | -
|
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+
| llm-compiler-13b-ftd.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
|
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+
| llm-compiler-13b-ftd.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
|
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+
| llm-compiler-13b-ftd.Q5_K | Q5_K | - | ⏳ Processing | ⚪ Static | -
|
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+
| llm-compiler-13b-ftd.Q5_K_S | Q5_K_S | - | ⏳ Processing | ⚪ Static | -
|
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+
| llm-compiler-13b-ftd.Q4_K | Q4_K | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.Q4_K_S | Q4_K_S | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.IQ4_NL | IQ4_NL | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.IQ4_XS | IQ4_XS | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.Q3_K | Q3_K | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.Q3_K_L | Q3_K_L | - | ⏳ Processing | 🟢 IMatrix | -
|
201 |
+
| llm-compiler-13b-ftd.Q3_K_S | Q3_K_S | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.IQ3_M | IQ3_M | - | ⏳ Processing | 🟢 IMatrix | -
|
203 |
+
| llm-compiler-13b-ftd.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
|
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+
| llm-compiler-13b-ftd.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
|
205 |
+
| llm-compiler-13b-ftd.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
|
206 |
+
| llm-compiler-13b-ftd.Q2_K | Q2_K | - | ⏳ Processing | 🟢 IMatrix | -
|
207 |
+
| llm-compiler-13b-ftd.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 IMatrix | -
|
208 |
+
| llm-compiler-13b-ftd.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -
|
209 |
+
| llm-compiler-13b-ftd.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
|
210 |
+
| llm-compiler-13b-ftd.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
|
211 |
+
| llm-compiler-13b-ftd.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
|
212 |
+
| llm-compiler-13b-ftd.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
|
213 |
+
| llm-compiler-13b-ftd.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | -
|
214 |
+
|
215 |
+
|
216 |
+
## Downloading using huggingface-cli
|
217 |
+
If you do not have hugginface-cli installed:
|
218 |
+
```
|
219 |
+
pip install -U "huggingface_hub[cli]"
|
220 |
+
```
|
221 |
+
Download the specific file you want:
|
222 |
+
```
|
223 |
+
huggingface-cli download legraphista/llm-compiler-13b-ftd-IMat-GGUF --include "llm-compiler-13b-ftd.Q8_0.gguf" --local-dir ./
|
224 |
+
```
|
225 |
+
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
|
226 |
+
```
|
227 |
+
huggingface-cli download legraphista/llm-compiler-13b-ftd-IMat-GGUF --include "llm-compiler-13b-ftd.Q8_0/*" --local-dir ./
|
228 |
+
# see FAQ for merging GGUF's
|
229 |
+
```
|
230 |
+
|
231 |
+
---
|
232 |
+
|
233 |
+
## Inference
|
234 |
+
|
235 |
+
### Llama.cpp
|
236 |
+
```
|
237 |
+
llama.cpp/main -m llm-compiler-13b-ftd.Q8_0.gguf --color -i -p "prompt here"
|
238 |
+
```
|
239 |
+
|
240 |
+
---
|
241 |
+
|
242 |
+
## FAQ
|
243 |
+
|
244 |
+
### Why is the IMatrix not applied everywhere?
|
245 |
+
According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
|
246 |
+
|
247 |
+
### How do I merge a split GGUF?
|
248 |
+
1. Make sure you have `gguf-split` available
|
249 |
+
- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
|
250 |
+
- Download the appropriate zip for your system from the latest release
|
251 |
+
- Unzip the archive and you should be able to find `gguf-split`
|
252 |
+
2. Locate your GGUF chunks folder (ex: `llm-compiler-13b-ftd.Q8_0`)
|
253 |
+
3. Run `gguf-split --merge llm-compiler-13b-ftd.Q8_0/llm-compiler-13b-ftd.Q8_0-00001-of-XXXXX.gguf llm-compiler-13b-ftd.Q8_0.gguf`
|
254 |
+
- Make sure to point `gguf-split` to the first chunk of the split.
|
255 |
+
|
256 |
+
---
|
257 |
+
|
258 |
+
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!
|